CN116225103B - Cabinet intelligent monitoring temperature control system based on Internet of things - Google Patents
Cabinet intelligent monitoring temperature control system based on Internet of things Download PDFInfo
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- CN116225103B CN116225103B CN202310505284.9A CN202310505284A CN116225103B CN 116225103 B CN116225103 B CN 116225103B CN 202310505284 A CN202310505284 A CN 202310505284A CN 116225103 B CN116225103 B CN 116225103B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 245
- 238000004458 analytical method Methods 0.000 claims abstract description 37
- 230000000694 effects Effects 0.000 claims abstract description 10
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- 238000001816 cooling Methods 0.000 claims description 285
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- 238000005057 refrigeration Methods 0.000 claims description 10
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
- G05D23/20—Control of temperature characterised by the use of electric means with sensing elements having variation of electric or magnetic properties with change of temperature
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Abstract
The invention belongs to the technical field of cabinet monitoring temperature control, and particularly discloses a cabinet intelligent monitoring temperature control system based on the Internet of things, which comprises a cabinet environment monitoring module, a cabinet temperature control demand analysis module, a cabinet temperature control mode confirmation terminal, a cabinet temperature control feedback terminal and a cabinet temperature control early warning terminal; according to the invention, the temperature control demand analysis is carried out on the cabinet according to the temperature information of the machine room and the temperature information of the cabinet, and when the temperature control is needed, the temperature control benefits of various temperature control modes are monitored and analyzed, so that the temperature control mode of the target cabinet is confirmed, the problem that the actual temperature control effect of the cabinet is not monitored in the current temperature control mode is effectively solved, the feasibility and the reliability of the current temperature control mode are ensured, the temperature control conditions of different temperature control modes are intuitively displayed, the temperature control effect of the cabinet is ensured, and the operation safety hidden trouble of the temperature level of the cabinet and the damage rate of cabinet elements are also reduced.
Description
Technical Field
The invention belongs to the technical field of cabinet monitoring temperature control, and relates to an intelligent cabinet monitoring temperature control system based on the Internet of things.
Background
Along with the rapid development of the internet of things technology, the demands of enterprises on data centers are continuously increased, the scale of the data centers and the density of equipment are also continuously improved, high-density equipment can generate more heat, the normal operation of the equipment is interfered, and a cabinet is used as a main way for controlling the heat of the equipment, so that the importance of monitoring and controlling the temperature of the equipment is self-evident.
At present, the temperature of a machine room where a machine cabinet is located and the temperature of the machine cabinet are mainly monitored by monitoring the temperature of the machine cabinet, a temperature control mode is confirmed according to a monitoring result, and corresponding temperature control is carried out according to the temperature control mode, and obviously, the temperature control mode also has the following problems: 1. the current temperature control mode only confirms the temperature control mode according to the temperature appearance so as to control the temperature, the substantial temperature control effect of the temperature control mode is not monitored, the feasibility and the reliability of the current temperature control mode cannot be ensured, the temperature control effect cannot be ensured, and the operation potential safety hazard of the temperature level of the cabinet cannot be reduced.
2. The state of the temperature control element directly determines the temperature control effect, and the state of the temperature control element is not monitored and analyzed at present, so that the temperature control interference condition of the temperature control element cannot be displayed, and the reasonability of the confirmation of the temperature control mode cannot be ensured.
3. At present, most of analysis in a single temperature control mode has certain limitation, and comparison analysis of various temperature control modes is not performed on a combined temperature control cabinet, so that the flexibility of cabinet temperature control cannot be improved, and pertinence and effectiveness of cabinet temperature control mode selection cannot be improved.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the above background art, an intelligent monitoring temperature control system for a cabinet based on the internet of things is provided.
The aim of the invention can be achieved by the following technical scheme: the invention provides an intelligent monitoring temperature control system of a cabinet based on the Internet of things, which comprises the following components: and the cabinet environment monitoring module is used for monitoring the current appointed machine room and the temperature information of the target cabinet in the appointed machine room.
And the cabinet temperature control demand analysis module is used for analyzing the temperature control demand of the current target cabinet.
The cabinet temperature control mode confirmation terminal is used for confirming the temperature control mode of the target cabinet when the current target cabinet needs to be subjected to temperature control, and comprises the following steps: a1, setting a temperature control mode of the target cabinet as an air cooling mode, and starting a temperature control instruction.
A2, monitoring fan state information in the target cabinet, and analyzing an expected air cooling benefit index.
A3, setting a monitoring time period, monitoring the cooling temperature of the designated machine room and the target machine cabinet at each monitoring time point in the set monitoring time period, analyzing the air cooling benefit deviation, executing the step A4 if the air cooling benefit deviation is larger than the allowable difference, and otherwise starting the machine cabinet temperature control feedback terminal.
A4, setting a temperature control mode of the target cabinet as a water cooling mode, and starting a temperature control instruction.
A5, monitoring pipeline state information in the target cabinet, and analyzing and predicting a water cooling benefit index.
A6, analyzing the water cooling benefit deviation according to the same analysis of the step A3, and if the water cooling benefit deviation is larger than the allowable difference, executing the step A7, otherwise, starting the cabinet temperature control feedback terminal.
And A7, setting a temperature control mode of the target cabinet as a mechanical refrigeration mode, and starting a cabinet temperature control early warning terminal.
And the cabinet temperature control feedback terminal is used for performing temperature control mode feedback.
And the cabinet temperature control early warning terminal is used for carrying out mechanical refrigeration mode demand early warning.
In a preferred embodiment of the present invention, the temperature information of the currently specified machine room is a monitored temperature corresponding to each temperature monitoring point.
The temperature information of the target cabinet comprises monitoring temperatures corresponding to each internal monitoring point, each air inlet monitoring point and each air outlet monitoring point.
The fan state information comprises the blade deformation degree, the blade dust concentration and the axial gap of the rotating shaft corresponding to each cooling fan.
The pipeline state information comprises temperature values and pressures of all pipeline monitoring points.
In a preferred embodiment of the present invention, the analyzing the temperature control requirement of the current target cabinet includes: extracting the monitoring temperature corresponding to each temperature monitoring point from the temperature information in the current appointed machine room, and extracting the highest monitoring temperature value from the monitoring temperatureAt the same time, the average monitoring temperature is obtained through average value calculation>。
Computing environment-level temperature control demand assessment index，。
Wherein,,respectively setting proper operating environment temperature and temperature difference of a machine room>Correcting the compensation factor for the set temperature evaluation, e representing the natural constant,/->The method is to set the allowable error range of the proper operating environment temperature of the machine room.
Extracting the monitoring temperature corresponding to each internal monitoring point from the temperature information of the target cabinet, and extracting the highest internal monitoring temperature from the monitoring temperature。
Extracting each air inlet monitoring point and each air outlet monitoring corresponding monitoring temperature from the temperature information of the target cabinet, and respectively calculating the average air inlet temperature through the average valueAverage air-out temperature +>And performing a difference to obtain a difference between the inlet temperature and the outlet temperature。
Computer cabinet layer temperature control demand assessment index，/>。
Wherein,,representation->，/>Representation or proposition symbol, < >>Indicating that a proposition symbol exists,the safe internal temperature and the inlet and outlet temperature difference of the set reference are respectively.
Representation->，/>The proposition symbol is represented and presented.
When (when)Or->And when the temperature control is needed, judging that the current target cabinet needs to be subjected to the temperature control.
In a preferred embodiment of the invention, the analyzing the predicted air-cooling benefit index comprises: extracting the blade deformation degree, the blade dust concentration and the axial clearance of the rotating shaft corresponding to each cooling fan from the fan state information, and setting an air cooling benefit interference factor。
Calculating an expected air-cooling benefit index，/>。
Wherein,,to set the corresponding reference air cooling benefit index under the normal fan state, < > for>The estimated interference air-cooling benefit index corresponding to the set unit air-cooling benefit interference factor is +.>To set a reference compensated air cooling benefit index.
In a preferred embodiment of the present invention, the setting the air cooling benefit interference factor includes: counting the number of cooling fans with the blade deformation degree larger than 0 from the corresponding blade deformation degree of each cooling fanAnd simultaneously screening out the maximum blade deformation degree。
The average value of the blade dust concentration corresponding to each cooling fan is calculated to obtain the average blade dust concentration of the cooling fan。
Calculating the trend index of the wind cooling benefit corresponding to the blade state，。
Wherein,,the set fan deformation ratio, the set blade deformation degree deviation and the set blade dust concentration deviation correspond to the air cooling benefit interference trend evaluation duty ratio weight, +/->The fan deformation ratio, the blade deformation degree and the blade dust concentration are respectively set as references, n represents the number of the cooling fans, < ->And evaluating a correction factor for the set blade state corresponding to the air cooling benefit interference trend.
Calculating the trend index of the air cooling benefit interference corresponding to the bearing state。
Calculating air cooling benefit interference factor，/>。
Wherein,,the duty ratio weight is evaluated for the wind cooling benefit interference corresponding to the set blade state and the bearing state respectively, and the wind cooling benefit interference is evaluated for the wind cooling benefit interference corresponding to the set blade state and the bearing state>And evaluating a correction factor for the set air cooling benefit interference.
In a preferred embodiment of the present invention, the analyzing the deviation of the air cooling benefit includes dividing the set monitoring time period into monitoring stages according to the set monitoring time interval.
Extracting the cooling temperature of the appointed machine room monitored at each monitoring time point in the set monitoring time period, further obtaining the cooling temperature of the appointed machine room at each monitoring time point in each monitoring stage, and analyzing the integral actual air cooling benefit index corresponding to the target machine cabinet。
Extracting the cooling temperature monitored by the target cabinet at each monitoring time point in the set monitoring time period, and obtaining the local air cooling benefit index corresponding to the target cabinet by the same analysis according to the analysis mode of the integral actual air cooling benefit index corresponding to the target cabinet。
Calculating actual comprehensive air cooling benefit index of target cabinet。
Wherein,,the ratio weight of the set total actual air cooling benefit and the set local air cooling benefit corresponding to the air cooling benefit evaluation is respectively +.>And evaluating the correction factor for the set air cooling benefit.
Counting deviation of air cooling benefit，/>。
In a preferred embodiment of the present invention, the analyzing the target cabinet corresponds to an overall actual air cooling benefit index, including: and analyzing the cooling benefit index of the appointed machine room in each monitoring stage, and constructing an actual cooling benefit change curve of the appointed machine room.
Extracting the length of the actual cooling benefit change curve of the appointed machine room。
Overlapping and comparing the actual cooling benefit change curve of the appointed machine room with the cooling benefit change curve set and referenced by the appointed machine room to obtain the length of the overlapped curve and the total length of the curve section of the actual cooling benefit change curve above the reference curve, and respectively marking asAnd->。
Calculating the integral actual air cooling benefit index corresponding to the target cabinet，/>。
Wherein,,the set coincidence curve ratio, the upper curve ratio and the corresponding air cooling benefit evaluation duty ratio weight are respectively +.>Evaluating correction factors for the set overall actual air cooling benefit, +.>The length ratio of the overlapping curve and the length ratio of the upper curve of the reference are respectively set.
In a preferred embodiment of the present invention, the analyzing and specifying the cooling benefit index of the machine room at each monitoring stage includes: constructing a corresponding cooling change curve of a designated machine room at each monitoring stage, and extracting amplitude values from the curveAnd slope->J represents the monitoring phase number,/->。
Calculating the cooling benefit index of the appointed machine room in each monitoring stage，。
Wherein,,the cooling amplitude and the cooling slope of the corresponding reference of the j-th monitoring stage are respectively set, and the +.>The duty ratio weight is evaluated for the set amplitude and slope corresponding to the cooling benefit respectively, and the weight is ++>And evaluating the correction factors for the set stage cooling benefit.
In a preferred embodiment of the invention, the analysis predicts a water cooling benefit index comprising: extracting state information of pipelines in the target cabinet, and calculating a corresponding cooling interference trend evaluation index of the state of the water pipe of the target cabinet。
Calculating expected water cooling benefit index，/>。
Wherein,,the set normal water pipe state corresponds to the reference water cooling benefit index, the unit water pipe cooling interference trend evaluation index corresponds to the interference cooling benefit index, and the reference compensation water cooling benefit index.
In a preferred embodiment of the present invention, the calculating the target cabinet water pipe state corresponding cooling interference trend evaluation index includes: extracting temperature values of all pipeline monitoring points from the pipeline state informationAnd pressure->D represents the number of the pipeline monitoring point, +.>。
Respectively carrying out average value calculation on the temperature and the pressure of each pipeline monitoring point to obtainAverage pipeline temperatureAnd average line pressure>。
Calculating the corresponding cooling interference trend evaluation index of the water pipe state of the target cabinet，。
Wherein,,the duty ratio weight is evaluated for the set temperature and pressure corresponding cooling interference trend of the pipeline respectively,respectively, the pipe temperature and the pressure difference which are set to be allowable are +.>Evaluating correction factors for the set water pipe state cooling disturbance trend, +.>And->The maximum value in the corresponding difference value between the temperature of each pipeline monitoring point and the average pipeline temperature and the pressure of each pipeline monitoring point and the average pipeline pressure is respectively +.>Indicating the maximum out of range allowed on the basis of the pressure average.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the invention, the temperature control demand analysis is carried out on the cabinet according to the temperature information of the machine room and the temperature information of the cabinet, and when the temperature control is needed, the temperature control benefits of various temperature control modes are monitored and analyzed, so that the temperature control mode of the target cabinet is confirmed, the problem that the actual temperature control effect of the cabinet is not monitored in the current temperature control mode is effectively solved, the feasibility and the reliability of the current temperature control mode are ensured, the temperature control conditions of different temperature control modes are intuitively displayed, the temperature control effect of the cabinet is ensured, and the operation safety hidden trouble of the temperature level of the cabinet and the damage rate of cabinet elements are also reduced.
(2) According to the invention, when the temperature control requirement of the current target cabinet is analyzed, the temperature control analysis of the cabinet level and the machine room level is further carried out by setting multi-point monitoring and various temperature information, so that the timeliness of the temperature control adjustment of the target cabinet is improved, the fire-fighting hidden danger caused by abnormal temperature rise in the machine room and the interior of the cabinet is reduced, and the normal operation of the server in the machine room is ensured.
(3) When monitoring the temperature control benefits of various temperature control modes, the invention displays the temperature control interference condition of the temperature control element by monitoring the states of the temperature control elements corresponding to the various temperature control modes, and ensures the authenticity and the accuracy of the subsequent temperature control benefit deviation analysis result.
(4) The invention avoids the limitation of the current single temperature control mode by setting a plurality of temperature control modes, realizes the multi-temperature control comparison analysis of the combined temperature control cabinet, and improves the flexibility of temperature control of the target cabinet and the pertinence and the effectiveness of temperature control mode selection of the target cabinet.
(5) According to the invention, when the temperature control mode of the target cabinet is confirmed, the predicted temperature control benefit is analyzed, and further the temperature control benefit deviation is analyzed, so that the benefit deviation situation of each temperature control mode is highlighted, the reference property of temperature control mode selection of the target cabinet is ensured, reliable data support is provided for operation and maintenance management of operation and maintenance management personnel of a designated machine room, and timeliness of maintenance of components with poor cabinet state is promoted.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
Fig. 2 is a schematic diagram of a cabinet temperature control mode confirmation flow according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one: referring to fig. 1, the invention provides an intelligent monitoring temperature control system of a cabinet based on the internet of things, which comprises a cabinet environment monitoring module, a cabinet temperature control demand analysis module, a cabinet temperature control mode confirmation terminal, a cabinet temperature control feedback terminal and a cabinet temperature control early warning terminal.
The medium cabinet temperature control mode confirmation terminal is respectively connected with the cabinet temperature control demand analysis module, the cabinet temperature control feedback terminal and the cabinet temperature control early warning terminal, and the cabinet environment monitoring module is connected with the cabinet temperature control demand analysis module.
And the cabinet environment monitoring module is used for monitoring the temperature information of the current appointed machine room and the target cabinet in the appointed machine room.
The temperature information of the target cabinet in the current appointed machine room comprises monitoring temperatures corresponding to all internal monitoring points, all air inlet monitoring points and all air outlet monitoring points.
In one embodiment, the specific monitoring process of the temperature information of the designated machine room and the target cabinet in the designated machine room is as follows: 1) Temperature information of the current appointed machine room: dividing the peripheral wall surfaces of the area where the appointed machine room is located into temperature monitoring areas according to a planar network dividing mode.
And taking the central point in each temperature monitoring area as each temperature monitoring point, arranging a temperature sensor in each temperature monitoring point, and carrying out temperature monitoring through the temperature sensor arranged in each arranged temperature monitoring point to obtain the monitoring temperature corresponding to each temperature monitoring point and taking the monitoring temperature as the temperature information in the current appointed machine room.
2) Temperature information of a target cabinet in a current appointed machine room: and arranging each internal monitoring point in the target cabinet, arranging a temperature sensor at each internal monitoring point, and carrying out temperature monitoring through the temperature sensor arranged at each internal monitoring point to obtain the monitoring temperature corresponding to each internal monitoring point.
And setting an enlarged interval to carry out the delineation of the monitoring area by taking the area where the air inlet of the target cabinet is positioned as a reference area and taking the reference area as a central area, arranging each air inlet monitoring point in the delineated monitoring area, setting a temperature sensor at each air inlet monitoring point position, and carrying out temperature monitoring on the temperature sensor arranged at each air inlet monitoring position to obtain the corresponding monitoring temperature of each air inlet monitoring point.
And obtaining the monitoring temperature corresponding to each air outlet monitoring point according to the monitoring mode of the monitoring temperature corresponding to each air inlet monitoring point.
And taking the monitoring temperature corresponding to each internal monitoring point, each air inlet monitoring point and each air outlet monitoring point as the temperature information of the target cabinet in the current appointed machine room.
The cabinet temperature control demand analysis module is used for analyzing the temperature control demand of the current target cabinet, and the specific analysis process comprises the following steps:
u1, extracting the monitoring temperature corresponding to each temperature monitoring point from the temperature information in the current appointed machine room, and extracting the highest monitoring temperature value from the monitoring temperatureAt the same time, the average monitoring temperature is obtained through average value calculation>。
U2, computing environment level temperature control requirementsAssessment index，。
Wherein,,respectively setting proper operating environment temperature and temperature difference of a machine room>Correcting the compensation factor for the set temperature evaluation, e representing the natural constant,/->The method is to set the allowable error range of the proper operating environment temperature of the machine room.
U3, extracting the monitoring temperature corresponding to each internal monitoring point from the temperature information of the target cabinet, and extracting the highest internal monitoring temperature from the monitoring temperature。
U4, extracting each air inlet monitoring point and each air outlet monitoring corresponding monitoring temperature from the temperature information of the target cabinet, and respectively calculating the average air inlet temperature through the average valueAverage air-out temperature +>And performing difference to obtain the temperature difference +.>。
U5 and computer cabinet layer temperature control demand assessment index，/>。
Wherein,,representation->，/>Representation or proposition symbol, < >>Indicating that a proposition symbol exists,the safe internal temperature and the inlet and outlet temperature difference of the set reference are respectively.
Representation->，/>The proposition symbol is represented and presented.
U6, whenOr->And when the temperature control is needed, judging that the current target cabinet needs to be subjected to the temperature control.
According to the embodiment of the invention, when the temperature control requirement of the current target cabinet is analyzed, the temperature control analysis of the cabinet level and the machine room level is further carried out by setting multi-point monitoring and various temperature information, so that the timeliness of the temperature control adjustment of the target cabinet is improved, the fire hidden danger caused by abnormal temperature rise in the machine room and the interior of the cabinet is reduced, and the normal operation of the server in the machine room is ensured.
Referring to fig. 2, the cabinet temperature control mode confirmation terminal is configured to confirm a temperature control mode of a target cabinet when a current target cabinet needs to be temperature controlled, and includes: a1, setting a temperature control mode of the target cabinet as an air cooling mode, and starting a temperature control instruction.
A2, monitoring fan state information in the target cabinet, and analyzing an expected air cooling benefit index.
Specifically, the fan status information includes a blade deformability, a blade dust concentration, and a shaft axial gap corresponding to each cooling fan.
It should be noted that, the blade deformation degree and the axial clearance of the rotating shaft are obtained through monitoring by the camera, that is, the miniature camera is arranged in the fan arranging area in the target cabinet to collect the images of the blade and the rotating shaft, wherein the blade deformation degree is obtained through analyzing the superposition condition of the blade profile and the blade standard profile, that is，/>Representation->，Representing a non-proposition symbol, the blade dust concentration is monitored by each dust concentration sensor of the arrangement of the area where the blade is arranged.
The blade deformability corresponding to each cooling fan is the maximum value of the blade deformabilities, and the blade dust concentration is the maximum value of the blade dust concentrations.
Further, analyzing the projected air cooling benefit index includes: a2-1, extracting the blade deformation degree, the blade dust concentration and the axial clearance of the rotating shaft corresponding to each cooling fan from the fan state information, and setting an air cooling benefit interference factor。
Understandably, setting the air cooling benefit interference factor includes: corresponding blade from each radiator fanThe number of the cooling fans with the blade deformation degree larger than 0 is counted in the deformation degreeAnd simultaneously screening out the maximum leaf deformability +.>。
The average value of the blade dust concentration corresponding to each cooling fan is calculated to obtain the average blade dust concentration of the cooling fan。
Calculating the trend index of the wind cooling benefit corresponding to the blade state，。
Wherein,,the set fan deformation ratio, the set blade deformation degree deviation and the set blade dust concentration deviation correspond to the air cooling benefit interference trend evaluation duty ratio weight, +/->The fan deformation ratio, the blade deformation degree and the blade dust concentration are respectively set as references, n represents the number of the cooling fans, < ->And evaluating a correction factor for the set blade state corresponding to the air cooling benefit interference trend.
The axial clearance of the rotating shaft corresponding to each cooling fan is recorded asI represents the number of the cooling fan, < > and->Calculating corresponding air cooling of bearing stateBenefit interference trend index->,/>。
Wherein,,for the axial clearance of the standard rotating shaft corresponding to the set cooling fan, < ->For the set heat radiation fan corresponding to the allowable axial clearance difference of the rotating shaft, < ->And evaluating a correction factor for the set bearing state corresponding to the air cooling benefit interference trend.
Calculating air cooling benefit interference factor，/>。
Wherein,,the duty ratio weight is evaluated for the wind cooling benefit interference corresponding to the set blade state and the bearing state respectively, and the wind cooling benefit interference is evaluated for the wind cooling benefit interference corresponding to the set blade state and the bearing state>And evaluating a correction factor for the set air cooling benefit interference.
A2-2, calculating the expected air-cooling benefit index，/>。
Wherein,,to set the corresponding reference air cooling benefit index under the normal fan state, < > for>The estimated interference air-cooling benefit index corresponding to the set unit air-cooling benefit interference factor is +.>To set a reference compensated air cooling benefit index.
A3, setting a monitoring time period, monitoring the cooling temperature of the designated machine room and the target machine cabinet at each monitoring time point in the set monitoring time period, analyzing the air cooling benefit deviation, executing the step A4 if the deviation condition is B1, namely the air cooling benefit deviation is larger than the permission difference, and starting the machine cabinet temperature control feedback terminal if the deviation condition is B2, namely the air cooling benefit deviation is smaller than or equal to the permission difference.
In one embodiment, the specific monitoring process for the cooling temperature of the designated machine room and the target machine cabinet at each monitoring time point is as follows: and H1, taking the maximum value of the monitored temperature corresponding to each temperature monitoring point in the appointed machine room monitored before the air cooling mode temperature control as the air cooling temperature before the appointed machine room, wherein the monitored temperature corresponding to each temperature monitoring point in the appointed machine room monitored before the air cooling mode temperature control is the monitored temperature corresponding to each temperature monitoring point in the current appointed machine room in the cabinet environment monitoring module.
And H2, extracting the monitoring temperature of each temperature monitoring point in the appointed machine room at each monitoring time point, obtaining the monitoring temperature value of each monitoring time point corresponding to each temperature monitoring point, and extracting the maximum monitoring temperature value from the monitoring temperature value to serve as the appointed machine room temperature which is correspondingly monitored at each monitoring time point.
And H3, respectively differentiating the temperature of the appointed machine room, which is correspondingly monitored at each monitoring time point, with the temperature before air cooling temperature control in the appointed machine room, thereby obtaining the cooling temperature of the appointed machine room at each monitoring time point.
And H4, taking the maximum value of the monitoring temperatures corresponding to the internal monitoring points of the target cabinet monitored before the air cooling mode temperature control as the air cooling temperature before the temperature control of the target cabinet, wherein the monitoring temperature corresponding to the internal monitoring points of the target cabinet monitored before the air cooling mode temperature control is the monitoring temperature corresponding to the internal monitoring points of the target cabinet in the cabinet environment monitoring module.
And H5, extracting the monitoring temperature of each internal monitoring point of the target cabinet at each monitoring time point, obtaining the monitoring temperature value of each internal monitoring point corresponding to each monitoring time point, and extracting the maximum monitoring temperature value from the monitoring temperature value to serve as the target cabinet temperature corresponding to the monitoring at each monitoring time point.
And H6, respectively differentiating the temperature of the target cabinet, which is correspondingly monitored at each monitoring time point, with the temperature of the target cabinet before air cooling temperature control, thereby obtaining the cooling temperature of the target cabinet at each monitoring time point.
Further, analyzing the air cooling benefit deviation comprises A3-1, and dividing the set monitoring time period into monitoring stages according to the set monitoring time interval.
A3-2, extracting the cooling temperature of the appointed machine room monitored at each monitoring time point in the set monitoring time period, further obtaining the cooling temperature of the appointed machine room at each monitoring time point in each monitoring stage, and analyzing the integral actual air cooling benefit index corresponding to the target machine cabinet。
Understandably, analyzing the target cabinet for the overall actual air-cooling benefit index includes: and R1, analyzing the cooling benefit index of the appointed machine room in each monitoring stage, taking the monitoring stage as a transverse axis, taking the cooling benefit index as a vertical axis, and marking a plurality of points in a two-dimensional coordinate system according to the cooling benefit index of the appointed machine room in each monitoring stage, thereby constructing an actual cooling benefit change curve of the appointed machine room.
Illustratively, analyzing the cooling benefit index of the specified machine room at each monitoring stage includes:
r1-1, taking a monitoring time point as a horizontal axis and a cooling temperature as a vertical axis, constructing a corresponding cooling change curve of a designated machine room in each monitoring stage, and extracting amplitude values from the curveObliqueRate->J represents the monitoring phase number,/->。
R1-2, calculating the cooling benefit index of the appointed machine room in each monitoring stage，。
Wherein,,the cooling amplitude and the cooling slope of the corresponding reference of the j-th monitoring stage are respectively set, and the +.>The duty ratio weight is evaluated for the set amplitude and slope corresponding to the cooling benefit respectively, and the weight is ++>And evaluating the correction factors for the set stage cooling benefit.
R2, extracting the length of the actual cooling benefit change curve of the appointed machine room。
R3, overlapping and comparing the actual cooling benefit change curve of the appointed machine room with the cooling benefit change curve set and referenced by the appointed machine room to obtain the length of the overlapped curve and the total length of the curve sections of the actual cooling benefit change curve above the reference curve, and respectively marking the length asAnd->。
R4, calculating integral actual air cooling benefit index corresponding to target cabinet，。
Wherein,,the set coincidence curve ratio, the upper curve ratio and the corresponding air cooling benefit evaluation duty ratio weight are respectively +.>Evaluating correction factors for the set overall actual air cooling benefit, +.>The length ratio of the overlapping curve and the length ratio of the upper curve of the reference are respectively set.
It should be noted that, when the actual cooling benefit change curve is above the cooling benefit change curve of the set reference, it indicates that the actual cooling benefit is higher than the reference cooling efficiency, i.e.The larger the integral actual air cooling benefit index is, the longer the superposition curve is, the lower the possibility that the actual cooling benefit change curve is positioned below the cooling benefit change curve of the set reference is, the more the integral actual air cooling benefit is ensured, namely the longer the superposition part is, the better the actual air cooling benefit is, and the longer the length of the non-superposition part is positioned above the reference curve is.
A3-3, extracting the cooling temperature of the target cabinet monitored at each monitoring time point in the set monitoring time period, and carrying out the same analysis according to the analysis mode of the integral actual air cooling benefit index corresponding to the target cabinet to obtain the local air cooling benefit index corresponding to the target cabinet。
A3-4, calculating actual comprehensive air cooling benefit index of target cabinet。
Wherein,,the ratio weight of the set total actual air cooling benefit and the set local air cooling benefit corresponding to the air cooling benefit evaluation is respectively +.>And evaluating the correction factor for the set air cooling benefit.
A3-5, counting deviation of air cooling benefit，/>。
A4, setting a temperature control mode of the target cabinet as a water cooling mode, and starting a temperature control instruction.
A5, monitoring pipeline state information in the target cabinet, and analyzing and predicting a water cooling benefit index.
When the embodiment of the invention monitors the temperature control benefits of various temperature control modes, the states of the corresponding temperature control elements of the various temperature control modes are monitored, so that the temperature control interference condition of the temperature control elements is displayed, and the authenticity and the accuracy of the subsequent temperature control benefit deviation analysis result are ensured.
Specifically, the pipe status information includes temperature values and pressures for each pipe monitoring point.
Further, the analysis predicts a water cooling benefit index comprising: a5-1, extracting pipeline state information in the target cabinet, and calculating a cooling interference trend evaluation index corresponding to the water pipe state of the target cabinet。
Understandably, calculating the target cabinet water pipe state correspondence cooling interference trend evaluation index includes: extracting temperature values of all pipeline monitoring points from the pipeline state informationAnd pressure->D represents the number of the pipeline monitoring point, +.>。
Respectively carrying out average value calculation on the temperature and the pressure of each pipeline monitoring point to obtain average pipeline temperatureAnd average line pressure>。
Calculating the corresponding cooling interference trend evaluation index of the water pipe state of the target cabinet，。
Wherein,,the duty ratio weight is evaluated for the set temperature and pressure corresponding cooling interference trend of the pipeline respectively,respectively, the pipe temperature and the pressure difference which are set to be allowable are +.>Evaluating correction factors for the set water pipe state cooling disturbance trend, +.>And->The maximum value of the corresponding difference value between the temperature and the average pipeline temperature of each pipeline monitoring point and the pressure and the average pipeline pressure of each pipeline monitoring point，/>Indicating the maximum out of range allowed on the basis of the pressure average.
A5-2, calculating the expected water cooling benefit index，/>。
Wherein,,the set normal water pipe state corresponds to the reference water cooling benefit index, the unit water pipe cooling interference trend evaluation index corresponds to the interference cooling benefit index, and the reference compensation water cooling benefit index.
When the temperature control mode of the target cabinet is confirmed, the expected temperature control benefit is analyzed, and further the temperature control benefit deviation is analyzed, so that the benefit deviation situation of each temperature control mode is highlighted, the reference property of temperature control mode selection of the target cabinet is ensured, reliable data support is provided for operation and maintenance management of operation and maintenance management staff of a designated machine room, and timeliness of maintenance of components in poor cabinet state is promoted.
A6, analyzing the water cooling benefit deviation according to the same principle as the A3 step, if the deviation condition is B3, namely that the water cooling benefit deviation is larger than the allowable difference, executing the A7 step, and if the deviation condition is B4, namely that the water cooling benefit deviation is smaller than or equal to the allowable difference, starting the cabinet temperature control feedback terminal.
It should be noted that, in the water cooling mode, the cooling temperature of each monitoring time point of the designated machine room in the set monitoring time period is monitored, that is, the designated machine room temperature corresponding to the monitoring time point closest to the temperature control instruction time point started by the water cooling mode is taken as the temperature before water cooling temperature control of the designated machine room, and the cooling temperature of each monitoring time point of the target machine cabinet in the set monitoring time period is monitored, that is, the target machine room temperature corresponding to the monitoring time point closest to the temperature control instruction time point started by the water cooling mode is taken as the temperature before water cooling temperature control of the target machine cabinet.
And A7, setting a temperature control mode of the target cabinet as a mechanical refrigeration mode, and starting a cabinet temperature control early warning terminal.
The mechanical refrigeration means opening an emergency skylight of the target cabinet.
The embodiment of the invention avoids the limitation of the current single temperature control mode by setting a plurality of temperature control modes, realizes the multi-temperature control comparison analysis of the combined temperature control cabinet, and improves the flexibility of temperature control of the target cabinet and the pertinence and the effectiveness of temperature control mode selection of the target cabinet.
The cabinet temperature control feedback terminal is used for performing temperature control mode feedback, and is particularly used for performing air cooling temperature control mode feedback and water cooling temperature control mode feedback.
And the cabinet temperature control early warning terminal is used for carrying out mechanical refrigeration mode demand early warning.
According to the embodiment of the invention, the temperature control demand analysis is carried out on the cabinet according to the temperature information of the machine room and the temperature information of the cabinet, and when the temperature control is needed, the temperature control benefits of various temperature control modes are monitored and analyzed, so that the temperature control mode of the target cabinet is confirmed, the problem that the actual temperature control effect of the cabinet is not monitored in the current temperature control mode is effectively solved, the feasibility and the reliability of the current temperature control mode are ensured, the temperature control conditions of different temperature control modes are intuitively displayed, the temperature control effect of the cabinet is ensured, and the operation safety hidden trouble of the temperature layer of the cabinet and the damage rate of cabinet elements are also reduced.
Embodiment two: when the current target cabinet needs to be subjected to temperature control, the method can also be used for confirming the temperature control mode of the target cabinet after the step A6: and A7, setting a temperature control mode of the target cabinet as a mechanical refrigeration mode, and starting a cabinet temperature control early warning terminal.
A8, analyzing the cooling benefit deviation of the analysis machinery according to the same principle as the step A3, and executing the step A9 if the mechanical benefit deviation is larger than the allowable difference.
And A9, setting a temperature control mode of the target cabinet as a combined mode, starting a temperature control instruction, carrying out corresponding information monitoring according to the combined mode, analyzing combined cooling benefit deviation according to the same principle of the step A3, and starting a cabinet temperature control early warning terminal if the combined cooling benefit deviation is larger than the allowable difference, otherwise, starting a cabinet temperature control feedback terminal.
Further, the combination modes include an air cooling combination mode, a water cooling combination mode and a wind-water combination mode.
It is understood that the air cooling mode is an air cooling mode combined mechanical refrigeration mode, the water cooling mode is a water cooling mode combined mechanical refrigeration mode, and the air water mode is an air cooling mode combined water cooling mode.
It is also understood that analyzing the combined cooling benefit deviation includes: and A91, if the combined mode is an air cooling combined mode, repeating the step A2, and obtaining air cooling combined cooling benefit deviation according to the same analysis of the step A3, if the air cooling combined cooling benefit deviation is larger than the allowable difference, executing the step A92, and otherwise starting the cabinet temperature control feedback terminal.
And A92, if the combination mode is a water cooling combination mode, repeating the step A5, and obtaining water cooling combination cooling benefit deviation according to the same analysis of the step A3, if the water cooling combination cooling benefit deviation is larger than the allowable difference, executing the step 93, and otherwise starting the cabinet temperature control feedback terminal.
And A93, repeating the step A2 and the step A5 if the combined mode is an air-water combined mode, analyzing the air-water combined cooling benefit deviation according to the same principle of the step A3, and starting the cabinet temperature control early warning terminal if the air-cooling combined cooling benefit deviation is larger than the allowable difference, otherwise starting the cabinet temperature control feedback terminal.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (8)
1. Cabinet intelligent monitoring temperature control system based on thing networking, its characterized in that: the system comprises:
the cabinet environment monitoring module is used for monitoring the temperature information of the current appointed machine room and the target cabinet in the appointed machine room;
the cabinet temperature control demand analysis module is used for analyzing the temperature control demand of the current target cabinet;
the analyzing the temperature control requirement of the current target cabinet includes:
extracting the monitoring temperature corresponding to each temperature monitoring point from the temperature information in the current appointed machine room, and extracting the highest monitoring temperature value from the monitoring temperatureAt the same time, the average monitoring temperature is obtained through average value calculation>；
Computing environment-level temperature control demand assessment index，/>；
Wherein,,respectively setting proper operating environment temperature and temperature difference of a machine room>Correcting the compensation factor for the set temperature evaluation, e representing the natural constant,/->Setting a proper operating environment temperature allowable error range of a machine room;
extracting the monitoring temperature corresponding to each internal monitoring point from the temperature information of the target cabinet, and extracting the highest internal monitoring temperature from the monitoring temperature；
Extracting each air inlet monitoring point and each air outlet monitoring corresponding monitoring temperature from the temperature information of the target cabinet, and respectively calculating the average air inlet temperature through the average valueAverage air-out temperature +>And performing difference to obtain the temperature difference +.>；
Computer cabinet layer temperature control demand assessment index，/>；
Wherein,,representation->，/>Representation or proposition symbol, < >>Indicating that a proposition symbol exists,the safe internal temperature and the inlet and outlet temperature difference of the set reference are respectively;
representation->，/>Representing and proposing a symbol;
when (when)Or->When the temperature control is needed, judging that the current target cabinet needs to be subjected to the temperature control;
the cabinet temperature control mode confirmation terminal is used for confirming the temperature control mode of the target cabinet when the current target cabinet needs to be subjected to temperature control, and comprises the following steps:
a1, setting a temperature control mode of a target cabinet as an air cooling mode, and starting a temperature control instruction;
a2, monitoring fan state information in the target cabinet, and analyzing an expected air cooling benefit index;
a3, setting a monitoring time period, monitoring the cooling temperatures of the designated machine room and the target machine cabinet at each monitoring time point in the set monitoring time period, analyzing the air cooling benefit deviation, executing the step A4 if the air cooling benefit deviation is larger than the allowable difference, and otherwise starting the machine cabinet temperature control feedback terminal;
a4, setting a temperature control mode of the target cabinet as a water cooling mode, and starting a temperature control instruction;
a5, monitoring pipeline state information in the target cabinet, and analyzing and predicting a water cooling benefit index;
a6, analyzing the water cooling benefit deviation according to the same principle analysis of the step A3, if the water cooling benefit deviation is larger than the allowable difference, executing the step A7, otherwise, starting a cabinet temperature control feedback terminal;
a7, setting a temperature control mode of the target cabinet as a mechanical refrigeration mode, and starting a cabinet temperature control early warning terminal;
the cabinet temperature control feedback terminal is used for performing temperature control mode feedback;
and the cabinet temperature control early warning terminal is used for carrying out mechanical refrigeration mode demand early warning.
2. The intelligent monitoring temperature control system of a cabinet based on the internet of things of claim 1, wherein: the temperature information of the current appointed machine room is the monitoring temperature corresponding to each temperature monitoring point;
the temperature information of the target cabinet comprises monitoring temperatures corresponding to each internal monitoring point, each air inlet monitoring point and each air outlet monitoring point;
the fan state information comprises the blade deformation degree, the blade dust concentration and the axial gap of the rotating shaft corresponding to each cooling fan;
the pipeline state information comprises temperature values and pressures of all pipeline monitoring points.
3. The intelligent monitoring temperature control system for cabinets based on the internet of things of claim 2, wherein: the analysis predicts an air-cooling benefit index comprising:
extracting the blade deformation degree, the blade dust concentration and the axial clearance of the rotating shaft corresponding to each cooling fan from the fan state information, and setting an air cooling benefit interference factor；
Calculating an expected air-cooling benefit index，/>；
Wherein,,to set the corresponding reference air cooling benefit index under the normal fan state, < > for>Predicted interference air cooling effect corresponding to set unit air cooling benefit interference factorBenefit index, I.S.)>To set a reference compensated air cooling benefit index.
4. The intelligent monitoring temperature control system for cabinets based on the internet of things according to claim 3, wherein: the setting of the air cooling benefit interference factor comprises the following steps:
counting the number of cooling fans with the blade deformation degree larger than 0 from the corresponding blade deformation degree of each cooling fanAnd simultaneously screening out the maximum leaf deformability +.>；
The average value of the blade dust concentration corresponding to each cooling fan is calculated to obtain the average blade dust concentration of the cooling fan；
Calculating the trend index of the wind cooling benefit corresponding to the blade state，；
Wherein,,the set fan deformation ratio, the set blade deformation degree deviation and the set blade dust concentration deviation correspond to the air cooling benefit interference trend evaluation duty ratio weight, +/->Respectively setting a reference fan deformation ratio, a blade deformation degree and a blade dust concentration, wherein n represents the number of the cooling fans,/>evaluating correction factors for the set blade states corresponding to the air cooling benefit interference trend;
calculating the trend index of the air cooling benefit interference corresponding to the bearing state；
Calculating air cooling benefit interference factor，/>;
Wherein,,the duty ratio weight is evaluated for the wind cooling benefit interference corresponding to the set blade state and the bearing state respectively, and the wind cooling benefit interference is evaluated for the wind cooling benefit interference corresponding to the set blade state and the bearing state>And evaluating a correction factor for the set air cooling benefit interference.
5. The intelligent monitoring temperature control system for cabinets based on the internet of things according to claim 3, wherein: the analysis of the air cooling benefit deviation comprises the following steps:
dividing the set monitoring time period into monitoring stages according to the set monitoring time interval;
extracting the cooling temperature of the appointed machine room monitored at each monitoring time point in the set monitoring time period, further obtaining the cooling temperature of the appointed machine room at each monitoring time point in each monitoring stage, and analyzing the integral actual air cooling benefit index corresponding to the target machine cabinet；
Extracting each monitoring time point of target cabinet in set monitoring time periodThe measured cooling temperature is subjected to similar analysis according to an analysis mode of the target cabinet corresponding to the integral actual air cooling benefit index to obtain the local air cooling benefit index corresponding to the target cabinet；
Calculating actual comprehensive air cooling benefit index of target cabinet；
Wherein,,the ratio weight of the set total actual air cooling benefit and the set local air cooling benefit corresponding to the air cooling benefit evaluation is respectively +.>Evaluating a correction factor for the set air cooling benefit;
counting deviation of air cooling benefit，/>；
The analysis target cabinet corresponds to an overall actual air cooling benefit index, and comprises:
analyzing the cooling benefit index of the appointed machine room in each monitoring stage, and constructing an actual cooling benefit change curve of the appointed machine room;
extracting the length of the actual cooling benefit change curve of the appointed machine room；
Overlapping and comparing the actual cooling benefit change curve of the appointed machine room with the cooling benefit change curve set and referenced by the appointed machine room to obtain the length of the overlapped curve and the total length of the curve section of the actual cooling benefit change curve above the reference curve, and respectively marking asAnd->；
Calculating the integral actual air cooling benefit index corresponding to the target cabinet，/>；
Wherein,,the set coincidence curve ratio, the upper curve ratio and the corresponding air cooling benefit evaluation duty ratio weight are respectively +.>Evaluating correction factors for the set overall actual air cooling benefit, +.>The length ratio of the overlapping curve and the length ratio of the upper curve of the reference are respectively set.
6. The intelligent monitoring temperature control system for cabinets based on the internet of things of claim 5, wherein: the analysis appoints the cooling benefit index of the machine room in each monitoring stage, and comprises the following steps:
constructing a corresponding cooling change curve of a designated machine room at each monitoring stage, and extracting amplitude values from the curveAnd slope->J represents the monitoring phase number,/->；
Calculating the cooling benefit index of the appointed machine room in each monitoring stage，/>；
Wherein,,the cooling amplitude and the cooling slope of the corresponding reference of the j-th monitoring stage are respectively set, and the +.>The duty ratio weight is evaluated for the set amplitude and slope corresponding to the cooling benefit respectively, and the weight is ++>And evaluating the correction factors for the set stage cooling benefit.
7. The intelligent monitoring temperature control system for cabinets based on the internet of things of claim 2, wherein: the analysis predicts a water cooling benefit index comprising:
extracting state information of pipelines in the target cabinet, and calculating a corresponding cooling interference trend evaluation index of the state of the water pipe of the target cabinet；
Calculating expected water cooling benefit index，/>；
Wherein,,the set normal water pipe state corresponds to the reference water cooling benefit index, the unit water pipe cooling interference trend evaluation index corresponds to the interference cooling benefit index, and the reference compensation water cooling benefit index.
8. The intelligent monitoring temperature control system of a cabinet based on the internet of things of claim 7, wherein: the calculating the target cabinet water pipe state corresponding cooling interference trend evaluation index comprises the following steps:
extracting temperature values of all pipeline monitoring points from the pipeline state informationAnd pressure->D represents the number of the pipeline monitoring point, +.>；
Respectively carrying out average value calculation on the temperature and the pressure of each pipeline monitoring point to obtain average pipeline temperatureAnd average line pressure>；
Calculating the corresponding cooling interference trend evaluation index of the water pipe state of the target cabinet，；
Wherein,,respectively the set pipeline temperature and pressureEstimating the duty ratio weight according to the cooling interference trend, < ->The temperature, the pressure difference of the pipelines which are respectively set to be allowable, +.>Evaluating correction factors for the set water pipe state cooling interference trend,and->The maximum value in the corresponding difference value between the temperature of each pipeline monitoring point and the average pipeline temperature and the pressure of each pipeline monitoring point and the average pipeline pressure is respectively +.>Indicating the maximum out of range allowed on the basis of the pressure average.
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